Authors: Youngjoo Kwak and Yoichi Iwami
Near-real-time flood flood mapping is one of the most important parts of emergency response efforts. This paper aims to estimate extreme flood inundation area over the entire Bangladesh, where monsoon river floods are dominant and frequent, affecting over 80% of the total population. The authors improved a water-extent extraction method for a better discrimination capacity to discern flood areas from cloud and mixed areas by using a modified land surface water index (MLSWI) based on the Moderate Resolution Imaging Spectrometer (MODIS) 8-day composites (approx. 500m resolution) data. Flood areas in the Brahmaputra River were verified by comparing them with ALOS AVNIR2 (approx. 10m resolution) data. The results showed the superiority of the developed method in providing instant and accurate nationwide mapping of floodwater extent in the three main rivers for the 2007 extreme event in the Bangladesh.
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